Perceptual rules for watermarking images: a psychophysical study of the visual basis for digital pattern encryption

We have measured the contrast detection thresholds for small bandpass targets embedded in digitized monochrome photographs of natural scenes. The targets are used to probe the properties of watermarking patterns, which might be embedded in a photography to state copyright or authenticity, while remaining invisible to a human observer. Thresholds were measured for targets embedded in different parts of the photographs in order to determine where in a photographs it would be most suitable to hide a watermarking pattern. Thresholds were also compared when the photographs were bandpass filtered or notch filtered in order to determine how the localized spectral energy in the photograph affected the visibility of a potential watermarking pattern. We also studied the visibility of targets embedded in synthetic pictures, whose spectral amplitude was similar to that of natural scenes. The test targets were most easily visible when embedded in parts of photographs where the luminance was relatively uniform, and they were especially easy to see where the average luminance was low. This was explicable on a simple model of contrast encoding in the human visual system. The targets were much harder to see when embedded in contrast-rich parts of the digitized photographs. Indeed, the thresholds were evaluated more than the simple human model predicted: the spatially- localized contrast energy in the photograph masked the test target effectively. The experiments with notch-filtered photographs produced surprising results that were not predicted at all by the human model. Even when the spectral energy was removed from the photograph in the band occupied by the test target, there was still substantial masking. This implies considerable masking between visual primitives encoding different spectral bands. It also implies that watermarking technology might be facilitated, since any contrast energy may hide a watermarking target regardless of their respective spectral content.

[1]  D. Tolhurst,et al.  On the variety of spatial frequency selectivities shown by neurons in area 17 of the cat , 1981, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[2]  E. Peli Contrast in complex images. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[3]  D. Tolhurst,et al.  Band-limited contrast in natural images explains the detectability of changes in the amplitude spectra , 1997, Vision Research.

[4]  D. Hubel,et al.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.

[5]  D. Heeger Normalization of cell responses in cat striate cortex , 1992, Visual Neuroscience.

[6]  J. Daugman Two-dimensional spectral analysis of cortical receptive field profiles , 1980, Vision Research.

[7]  D. Tolhurst,et al.  Amplitude spectra of natural images. , 1992, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[8]  D J Field,et al.  Relations between the statistics of natural images and the response properties of cortical cells. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[9]  Denis G. Pelli,et al.  Accurate control of contrast on microcomputer displays , 1991, Vision Research.

[10]  S Marcelja,et al.  Mathematical description of the responses of simple cortical cells. , 1980, Journal of the Optical Society of America.

[11]  D. Tolhurst,et al.  Discrimination of changes in the second-order statistics of natural and synthetic images , 1994, Vision Research.

[12]  B. Natarajan Robust Public Key Watermarking of Digital Images , 1997 .

[13]  D. G. Albrecht,et al.  Spatial frequency selectivity of cells in macaque visual cortex , 1982, Vision Research.

[14]  D. Tolhurst,et al.  Discrimination of Changes in the Slopes of the Amplitude Spectra of Natural Images: Band-Limited Contrast and Psychometric Functions , 1997, Perception.

[15]  J. Movshon,et al.  Spatial summation in the receptive fields of simple cells in the cat's striate cortex. , 1978, The Journal of physiology.

[16]  J. M. Foley,et al.  Human luminance pattern-vision mechanisms: masking experiments require a new model. , 1994, Journal of the Optical Society of America. A, Optics, image science, and vision.